Cui Lin

Dr. Cui Lin is currently Principle Security Data Scientist at Splunk Machine Learning for Security (SMLS), working as Lead for the Content of Splunk User Behavior Analytics (UBA) . Prior to her current position, she has industrial experience in CA, Hitachi, Microsoft Research and IBM.

She has published 20+ papers/ journals (600+ citations from 20+ counties) and 9 US patents filed on Data Science, Big Data, and Cloud Computing.

Security 5 Min Read

Building At-Scale User Behavior Analytics for Splunk UBA: Enhance Performance of Account & Device Exfiltration Models

Splunkers Ania Kacewicz, Cui Lin and Che-Lun Tsao discuss how the scalability performance of Account and Device Exfiltration models can be achieved in UBA V5.4.0.

Security 4 Min Read

Elevating Security Intelligence with Splunk UBA's Machine Learning Models

Splunk UBA uses machine learning to detect evolving threats beyond rule-based approaches in SOC operations, tackling overwhelming event volumes.

Security 6 Min Read

Building Large-Scale User Behavior Analytics: Data Validation and Model Monitoring

Splunk's Cui Lin explores fundamental techniques to validate data volume and monitor models to understand the size of your own UBA clusters.

Security 8 Min Read

Detecting Lateral Movement Using Splunk User Behavior Analytics

The blog is to introduce lateral movement detection using Splunk User Behavior Analytics (UBA)